Medicare's AI Prior-Auth Test Triggers Sharp Drop in Medical Services

Medicare has begun testing artificial intelligence tools to handle prior authorization decisions, a move aimed at curbing wasteful spending within the federal health insurance program — but the experiment has also produced an immediate and significant decline in approved medical services for patients.

Prior authorization is the process by which insurers require providers to obtain approval before delivering certain treatments or procedures. By automating these reviews with AI, Medicare sought to streamline a notoriously bureaucratic process while filtering out claims deemed unnecessary or excessive.

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The results, however, raise questions about whether the technology is drawing the right lines. The sharp drop in services following the AI rollout has prompted concern among patient advocates and healthcare providers who worry that legitimate care is being denied alongside genuinely wasteful spending, a distinction human reviewers have historically been better positioned to make.

The outcome underscores a broader tension in healthcare cost control: efficiency-focused tools can reduce spending quickly, but they may do so in ways that have real consequences for patient access. AI systems trained on historical claims data may reflect existing biases or fail to account for individual clinical circumstances that fall outside standard patterns.

The Medicare AI prior-authorization pilot adds to growing national scrutiny of how insurers — both public and private — use automated decision-making in coverage determinations, a practice that has already faced legislative pushback in several states. Continue reading at MarketWatch.com